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Re: st: testing nested logistic model using mi estimate: prefix command


From   Richard Williams <richardwilliams.ndu@gmail.com>
To   statalist@hsphsun2.harvard.edu, statalist@hsphsun2.harvard.edu
Subject   Re: st: testing nested logistic model using mi estimate: prefix command
Date   Wed, 02 Nov 2011 00:44:54 -0500

At 11:11 PM 11/1/2011, Alan Acock wrote:
I have imputed 10 complete datasets using mi. I run mi estimate: logistic pair male time_m bmi on a model. I run a second model using mi estimate: logistic pair male time_m bmi compete efficacy. I want to test if the second model does better than the first. Since there is no log likelihood reported I don't know how to calculate a likelihood ratio chi-square test.

How can I compare these models if the log likelihood was not available with the mi estimate command prefix. I could use the lrtest or calculate it by hand using listwise/casewise deletion.

Can't you just use -mi test-, e.g.

mi test compete efficacy


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Richard Williams, Notre Dame Dept of Sociology
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